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Statistics and Data Analysis – (Ph.D.)

University of Essex

Department of Mathematical Sciences
Location: Colchester / United Kingdom / View location on map ▾ Hide location on map ▴
Duration: 36 months Start Date: January, April, October
Education Variants:
  • Parttime
  • Fulltime
Location flexibility:
  • Primarily at University
Project type:
  • Open PhD programme
Languages: English 
0.9510141,51.8794297

Location of University of Essex

The University of Essex is one of the UK's leading academic institutions, ranked ninth nationally for research excellence following the most recent Research Assessment Exercise (RAE).

Staff within our Department of Mathematical Sciences are able to supervise our MPHP Statistics and Data Analysis. In your first year, you undertake a taught programme similar to our MSc Statistics and Data Analysis. In your second and third years, you undertake research that leads to your final degree.


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Requirements

Masters degree, or equivalent, in relevant subject area.

IELTS 6.0.

Additional Requirements

Minimal degree required: Master's degree
Minimal amount of work experience Not specified

Language Proficiency

IELTS Band: 6.0

Faculty

The University of Essex is one of the UK's leading academic institutions, ranked ninth nationally for research excellence following the most recent Research Assessment Exercise (RAE).

Our Department of Mathematical Sciences has an international reputation in many areas like such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
Our staff are strongly committed to research and teaching. They have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.


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